Beyond Benchmarking: A New Paradigm for Evaluation and Assessment of Large Language Models

• URL: http://arxiv.org/abs/2407.07531v1
• Date: Wed, 10 Jul 2024 10:42:02 GMT
• Title: Beyond Benchmarking: A New Paradigm for Evaluation and Assessment of Large Language Models
• Authors: Jin Liu, Qingquan Li, Wenlong Du,
• Abstract summary: In current benchmarks for evaluating large language models (LLMs), there are issues such as evaluation content restriction, untimely updates, and lack of optimization guidance. We propose a new paradigm for the measurement of LLMs: Benchmarking-Evaluation-Assessment.
• Score: 7.529095331830944
• License: http://creativecommons.org/licenses/by/4.0/
• Abstract: In current benchmarks for evaluating large language models (LLMs), there are issues such as evaluation content restriction, untimely updates, and lack of optimization guidance. In this paper, we propose a new paradigm for the measurement of LLMs: Benchmarking-Evaluation-Assessment. Our paradigm shifts the "location" of LLM evaluation from the "examination room" to the "hospital". Through conducting a "physical examination" on LLMs, it utilizes specific task-solving as the evaluation content, performs deep attribution of existing problems within LLMs, and provides recommendation for optimization.

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